The code is for colon cancer detection using histopathological data by Digital Health and Medical Advancement Impact Lab, School of Computer Science, Taylor's University. 

This code showed both experiemtnal result and process of an end-to-end self-structured CNN model for histopathological data categorization, including:

1. Data Insertion 
2. Data Description 
3. Data Cleaning based on RGB color distribution test in line with Gaussian 99% rule. 
4. Data Split
5. Data Augmentation
6. Model Training
7. Model Evaluation

The experiment shows promising results. 